检索结果-内蒙古大学图书馆

您好，读者！请登录

内蒙古大学图书馆

首页
概况
党建
资源
服务
科研支持
- 论文收录引用证明
- 科技查新
知识产权
档案馆
帮助

咨询与建议

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

您的常用邮箱：*

您的手机号码：*

问题描述：

当前已输入0个字，您还可以输入200个字

全部搜索
期刊论文
图书
学位论文
标准
纸本馆藏
外文资源发现
数据库导航
超星发现

高级检索

时间限定

出版年份：

文献类型

图书期刊文献学位论文多媒体

馆藏选择

电子馆藏纸本馆藏

核心期刊

全部期刊 SCI 收录期刊 SSCI 收录期刊 EI 收录期刊 CSCD 收录期刊 CSSCI 收录期刊

语言

中文英文

文献类型

期刊文献图书学位论文标准纸本馆藏

帮助

文字说明：

T=题名（书名、题名），A=作者（责任者），K=主题词，P=出版物名称，PU=出版社名称，O=机构（作者单位、学位授予单位、专利申请人），L=中图分类号，C=学科分类号，U=全部字段，Y=年（出版发行年、学位年度、标准发布年）

检索规则说明：

AND代表“并且”；OR代表“或者”；NOT代表“不包含”；(注意必须大写,运算符两边需空一格)

检索范例：

范例一：(K=图书馆学 OR K=情报学) AND A=范并思 AND Y=1982-2016
范例二：P=计算机应用与软件 AND (U=C++ OR U=Basic) NOT K=Visual AND Y=2011-2016

分类表

所选分类

>> <<

限定检索结果

文献类型

17,662 篇 会议
257 册 图书
190 篇 期刊文献
1 篇 学位论文

馆藏范围

18,109 篇 电子文献
2 种 纸本馆藏

日期分布

学科分类号

10,535 篇 工学
- 6,235 篇 计算机科学与技术...
- 4,015 篇 电气工程
- 3,831 篇 控制科学与工程
- 2,909 篇 软件工程
- 1,925 篇 信息与通信工程
- 1,553 篇 光学工程
- 1,408 篇 机械工程
- 997 篇 仪器科学与技术
- 583 篇 电子科学与技术（可...
- 549 篇 生物医学工程（可授...
- 433 篇 生物工程
- 232 篇 材料科学与工程（可...
- 195 篇 交通运输工程
- 163 篇 安全科学与工程
- 155 篇 化学工程与技术
- 139 篇 力学（可授工学、理...
- 115 篇 建筑学
- 110 篇 土木工程
- 104 篇 航空宇航科学与技...
3,401 篇 理学
- 2,548 篇 物理学
- 806 篇 数学
- 486 篇 生物学
- 295 篇 系统科学
- 209 篇 统计学（可授理学、...
- 134 篇 化学
1,655 篇 医学
- 1,577 篇 临床医学
- 185 篇 基础医学(可授医学...
762 篇 管理学
- 582 篇 管理科学与工程(可...
- 191 篇 图书情报与档案管...
- 120 篇 工商管理
107 篇 农学
78 篇 法学
43 篇 经济学
42 篇 教育学
39 篇 艺术学
37 篇 军事学
18 篇 文学

主题

2,739 篇 computer vision
1,685 篇 cameras
1,489 篇 signal processin...
1,441 篇 robot vision sys...
1,355 篇 image processing
1,173 篇 robot sensing sy...
912 篇 signal processin...
874 篇 mobile robots
839 篇 feature extracti...
769 篇 machine vision
549 篇 image segmentati...
504 篇 object detection
440 篇 visualization
425 篇 deep learning
409 篇 robustness
393 篇 estimation
367 篇 stereo vision
358 篇 navigation
343 篇 training
319 篇 robot kinematics

机构

83 篇 centre for visio...
63 篇 xi an jiao tong ...
54 篇 centre for visio...
37 篇 school of electr...
36 篇 centre for visio...
29 篇 carnegie mellon ...
28 篇 chinese acad sci...
27 篇 shanghai jiao to...
27 篇 center for machi...
27 篇 university of ch...
23 篇 centre for visio...
23 篇 harbin inst tech...
21 篇 univ chinese aca...
21 篇 nanyang technol ...
17 篇 centre for visio...
16 篇 university of sc...
16 篇 tsinghua univers...
13 篇 chinese acad sci...
13 篇 univ sci & techn...
13 篇 chinese univ hon...

作者

52 篇 j. kittler
40 篇 josef kittler
28 篇 nakadai kazuhiro
19 篇 anil fernando
18 篇 wang wei
15 篇 chen chen
14 篇 yang yang
14 篇 nascimento jacin...
13 篇 jing zhang
13 篇 liu yang
13 篇 sun fuchun
12 篇 sun lining
12 篇 hansung kim
11 篇 zhang lei
11 篇 bartolozzi chiar...
11 篇 hong liu
10 篇 wang lei
10 篇 li yang
10 篇 aguiar pedro m. ...
10 篇 qiuqiang kong

语言

17,924 篇 英文
86 篇 其他
86 篇 中文
12 篇 土耳其文
3 篇 俄文
2 篇 西班牙文

检索条件"任意字段=International Conference on Robot Vision and Signal Processing"

共 18110 条记录，以下是201-210 订阅

全选清除本页清除全部题录导出标记到"检索档案"

详细简洁

排序：

FG3DFormer: Fine-Grained 3D Shape Classification Based on vision Transformer

FG3DFormer: Fine-Grained 3D Shape Classification Based on Vi...

引用

international conference on Acoustics, Speech, and signal processing (ICASSP)

作者： Xiangyu Ma Jing Bai Jinzhe Jiang Bin Peng The School of Computer Science and Engineering North Minzu University The Key Laboratory of Images Processing and Pattern Recognition Laboratory Yinchuan China

ISBN: (数字)9798350368741

ISBN: (纸本)9798350368758

Fine-grained 3D shape classification (FGSC) remains challenging due to the difficulty of adaptively capturing global structure differences and subtle inter-class distinctions. This paper directly extends vision Transformer (ViT) to FGSC, proposing a pure Transformer network FG3DFormer that fully leverages ViT’s global correlation and local attention abilities. FG3Dformer comprises the Hierarchical Feature Extraction (HFE) and the Hierarchical Feature Refinement (HFR), interconnected through the Adaptive View Region Selection (AVRS). Firstly, the HFE comprehensively evaluates the significance of intra-view patches and views driven by inter-view and intraview attention. Then, the AVRS adaptively selects crucial patch Tokens from different views to serve as sources of subtle local features. Finally, the HFR refines the 3D shape descriptor, capturing more discriminative global and subtle local features by leveraging both the view and selected crucial patch Tokens. Extensive experiments on FG3D and ModelNet40 demonstrate the superiority of FG3Dformer in FGSC and meta-category 3D shape classification tasks.

关键词： Computer vision Visualization Solid modeling Three-dimensional displays Correlation Shape signal processing Transformers Feature extraction Speech processing

来源：评论

学校读者我要写书评

暂无评论

SONIQUE: Video Background Music Generation Using Unpaired Audio-Visual Data

SONIQUE: Video Background Music Generation Using Unpaired Au...

引用

international conference on Acoustics, Speech, and signal processing (ICASSP)

作者： Liqian Zhang Magdalena Fuentes MARL-IDM New York University New York USA

ISBN: (数字)9798350368741

ISBN: (纸本)9798350368758

We present SONIQUE, a model for generating background music tailored to video content. Unlike traditional video-to-music generation approaches, which rely heavily on paired audio-visual datasets, SONIQUE leverages unpaired data, combining royalty-free music and independent video sources. By utilizing large language models (LLMs) for video understanding and converting visual descriptions into musical tags, alongside a U-Net-based conditional diffusion model, SONIQUE enables customizable music generation. Users can control specific aspects of the music, such as instruments, genres, tempo, and melodies, ensuring the generated output fits their creative vision. SONIQUE is open-source, with a demo available online.

关键词： Visualization Video description Instruments Large language models Semantics signal processing Diffusion models Timing Multiple signal classification Speech processing

来源：评论

学校读者我要写书评

暂无评论

Active Listener: Continuous Generation of Listener’s Head Motion Response in Dyadic Interactions

Active Listener: Continuous Generation of Listener’s Head M...

引用

international conference on Acoustics, Speech, and signal processing (ICASSP)

作者： Bishal Ghosh Emma Li Tanaya Guha University of Glasgow UK

ISBN: (数字)9798350368741

ISBN: (纸本)9798350368758

A key component of dyadic spoken interactions is the contextually relevant non-verbal gestures, such as head movements that reflect a listener’s response to the interlocutor’s speech. Although significant progress has been made in the context of generating co-speech gestures, generating listener’s response has remained a challenge. We introduce the task of generating continuous head motion response of a listener in response to the speaker’s speech in real time. To this end, we propose a graph-based end-to-end crossmodal model that takes interlocutor’s speech audio as input and directly generates head pose angles (roll, pitch, yaw) of the listener in real time. Different from previous work, our approach is completely data-driven, does not require manual annotations or oversimplify head motion to merely nods and shakes. Extensive evaluation on the dyadic interaction sessions on the IEMOCAP dataset shows that our model produces a low overall error (4.5 degrees) and a high frame rate, thereby indicating its deployability in real-world human-robot interaction systems. Our code is available at - https://github. com/bigzen/Active-Listener

关键词： Codes Speech coding Annotations Human-robot interaction Manuals signal processing Predictive models Real-time systems Cultural differences Speech processing

来源：评论

学校读者我要写书评

暂无评论

Component-wise Self-Correction Network for Human Motion Prediction

Component-wise Self-Correction Network for Human Motion Pred...

引用

international conference on Acoustics, Speech, and signal processing (ICASSP)

作者： Jinkai Li Jinghua Wang Xin Wang Liang Yan Yong Xu School of Computer Science and Technology Harbin Institute of Technology Shenzhen National Key Laboratory of Smart Farm Technologies and Systems Inspur Cloud Information Technology Co. Ltd

ISBN: (数字)9798350368741

ISBN: (纸本)9798350368758

Human motion prediction is a fundamental task in human-robot interaction and self-driving. Many existing human motion prediction methods use one encoder to embed the historical human poses and one decoder to predict future motion poses. We believe that it is possible to estimate the deviation of the decoding results from the groundtruth and use this estimation to further enhance the prediction results. A single deviation estimator cannot deal with all the human body components due to the varying motion dynamics. In this work, we adopt five independent lightweight branches to estimate the deviation of five human body components (i.e., left arm, right arm, torso, left leg, and right leg). Based on this component-wise deviation estimation strategy, we propose a Component-wise Self-Correction Network (CSCNet) to realize human motion prediction. Extensive experiments show that the CSCNet obtains state-of-the-art performance on three benchmarks, i.e., H3.6M, CMU-Mocap, and 3DPW.

关键词： Legged locomotion Torso Estimation Human-robot interaction Prediction methods Arms Benchmark testing signal processing Decoding Speech processing

来源：评论

学校读者我要写书评

暂无评论

Diffusion Models are Zero-Shot Generative Text-vision Retrievers

Diffusion Models are Zero-Shot Generative Text-Vision Retrie...

引用

international conference on Acoustics, Speech, and signal processing (ICASSP)

作者： Bao Li Zeke Xie Xiaomei Zhang Xiangyu Zhu Zhen Lei MAIS Institute of Automation Chinese Academy of Sciences Beijing China School of Artifical Intelligence University of Chinese Academy of Sciences Beijing China The Hong Kong University of Science and Technology (Guangzhou) Guangzhou China CAIR HKISI Chinese Academy of Sciences Hong Kong China

ISBN: (数字)9798350368741

ISBN: (纸本)9798350368758

Large-scale text-to-image diffusion models have demonstrated impressive capabilities for downstream tasks by leveraging strong vision-language alignment from generative pre-training. Recently, a number of works have explored how to use the power of text-to-image diffusion models for text-image matching tasks. While previous generative text-image matching methods have shown potential in retrieving the most challenging candidates, they still suffer from extremely slow retrieval speeds and lack the ability to handle temporal dimensions, making them impractical for text-video retrieval. In this paper, we propose ZSGenRet, a simple yet effective zero-shot generative text-vision retrieval framework for both text-image and text-video tasks, based on pre-trained text-to-image diffusion models. We further incorporate inversion saliency detection to identify key frames in videos and enhance the semantic representation of the vision encoder. Experimental results demonstrate that ZSGenRet significantly improves text-video retrieval performance and achieves competitive results on text-image retrieval while remarkably improving efficiency. To the best of our knowledge, the proposed ZSGenRet is the first to explore zero-shot text-video retrieval based on diffusion models.

关键词： Accuracy Semantics Text to image signal processing Diffusion models Acoustics Speech processing Videos Saliency detection

来源：评论

学校读者我要写书评

暂无评论

A Wide Range and Highly Linear ISFET Readout Circuit

A Wide Range and Highly Linear ISFET Readout Circuit

引用

international conference on robotics,Electrical and signal processing Techniques (ICREST)

作者： Niramol Saywan Apiradee Yodtean Phamorn Silapan Yutana Jewajinda Department of Electrical Engineering Faculty of Engineering and Industrial Technology Silpakorn University (Sanam Chandra Palace Campus) Nakhonpathom Thailand NECTEC National Science and Technology Development Agency (NSTDA) Pathum Thani Thailand

ISBN: (数字)9798331530952

ISBN: (纸本)9798331530969

The article introduces a highly linear readout circuit for ion-sensitive field-effect transistors (ISFET) developed in $0.8 \mu \mu\mathrm{m}$ CMOS technology. The proposed circuit comprises only eight transistors and a resistor, providing wide input ranges with high linearity. Simulation results from the LTSpice application indicate that the proposed circuit can function across a wide input range of 0.6-3.1 V. It exhibits a sensitivity of 38.3 mV/pH and a linearity of 0.9994 when simulated with a power supply of 3.3 volts. The power consumption rate is $34.42 \mu \mathrm{W}$ .

关键词： Resistors Sensitivity Power demand Simulation Linearity Voltage signal processing CMOS technology robot sensing systems Transistors

来源：评论

学校读者我要写书评

暂无评论

robot Arm Design and Application Case Analysis Combining Artificial Intelligence and Bionics

Robot Arm Design and Application Case Analysis Combining Art...

引用

robotics and Technologies for Industrial Automation (robotHIA), IEEE international conference on

作者： Nuo Pang Mustaffa Halabi Azahari School of design Dalian University of Science and Technology Dalian China City Graduate School City University Malaysia Kuala Lumpur Malaysia

ISBN: (数字)9798350356755

ISBN: (纸本)9798350356762

With the application of artificial intelligence (AI) technology in medical diagnosis, treatment, and rehabilitation, combining AI with bionics to design more intelligent and adaptable robotic arms can improve the effectiveness of rehabilitation training. However, there are still many challenges in accurately identifying and simulating the movement patterns of the human arm. In this article, we investigated the application of bionics in the design of artificial joints and motion-assistive devices, as well as the role of machine learning and deep learning in motion pattern recognition and electromyography signal processing. In addition, combining AI with bionic technology, we designed and developed a bionic rehabilitation arm with highly intelligent and personalized features. The arm excels in motion pattern recognition and electromyography signal processing and can effectively enhance the effectiveness of rehabilitation training.

关键词： Training Service robots Biomimetics Arms signal processing Manipulators Solids Electromyography Pattern recognition Artificial intelligence

来源：评论

学校读者我要写书评

暂无评论

vision-Language Model Guided Semi-supervised Learning for No-Reference Video Quality Assessment

Vision-Language Model Guided Semi-supervised Learning for No...

引用

international conference on Acoustics, Speech, and signal processing (ICASSP)

作者： Shankhanil Mitra Rajiv Soundararajan Samsung Research Institute Bangalore India Indian Institute of Science Bangalore India

ISBN: (数字)9798350368741

ISBN: (纸本)9798350368758

Perceptual assessment of user-generated content videos is an important problem that impacts viewing experience of millions of users. Current no-reference video quality assessment (NR-VQA) algorithms require a large amount of human annotated videos. In this work, we address this problem by specifically designing a dual-model based Semi-supervised Learning (SSL) method for NR-VQA. The first model is based on a popular vision-language model namely CLIP, where we adapt the visual encoder to capture high-level semantic quality information through quality-relevant text prompts. A second model learns complementary low-level spatio-temporal quality using a 3D vision transformer and video fragments. We enable intelligent knowledge transfer between the high-level vision-language and low-level vision-transformer model to pseudo-label the unlabelled videos. Our unified model outperforms existing state-of-the-art SSL methods for VQA across popular VQA databases including inter-database settings.

关键词： Adaptation models Visualization Semantics User-generated content Semisupervised learning Transformers Data models Quality assessment Knowledge transfer Videos

来源：评论

学校读者我要写书评

暂无评论

Chitrarth: Bridging vision and Language for a Billion People

Chitrarth: Bridging Vision and Language for a Billion People

引用

international conference on Acoustics, Speech, and signal processing (ICASSP)

作者： Shaharukh Khan Ayush Tarun Abhinav Ravi Ali Faraz Praveen Kumar Pokala Anagha Bhangare Raja Kolla Chandra Khatri Shubham Agarwal Krutrim AI Bangalore India

ISBN: (数字)9798350368741

ISBN: (纸本)9798350368758

Recent multimodal foundation models are primarily trained on English or high resource European language data, which limits their applicability to other medium and low-resource languages, such as the Indian languages. To address this limitation, we introduce Chitrarth (Chitra: Image; Artha: Meaning), an inclusive vision-Language Model (VLM), specifically targeting the rich linguistic diversity and visual reasoning across 10 prominent Indian languages. Our model effectively integrates a state-of-the-art (SOTA) multilingual Large Language Model (LLM) with a vision module, primarily trained on multilingual image-text data. Furthermore, we also introduce BharatBench, a comprehensive framework for evaluating VLMs across various low resource languages, ultimately contributing to more diverse and effective AI systems. Our model presents SOTA results for benchmarks across Indian languages while retaining its efficiency in English. Through our research, we aim to set new benchmarks in multilingual-multimodal capabilities, offering substantial improvements over existing models and establishing a foundation for facilitating future advancements in this arena.

关键词： Training Representation learning Visualization Pipelines Training data Benchmark testing Data models Multilingual Speech processing signal resolution

来源：评论

学校读者我要写书评

暂无评论

Identity-Preserving Diffusion for Face Restoration

Identity-Preserving Diffusion for Face Restoration

引用

international conference on Acoustics, Speech, and signal processing (ICASSP)

作者： Xiaying Bai Yuhao Yang Wenming Yang Rui Zhu Jing-Hao Xue Shenzhen International Graduate School Tsinghua University Shenzhenn China Faculty of Actuarial Science and Insurance City University of London London United Kingdom Department of Statistical Science University College London London United Kingdom

ISBN: (数字)9798350368741

ISBN: (纸本)9798350368758

Face restoration is a critical task in computer vision, aiming to restore high-quality facial images from degraded inputs. In existing diffusion models, identity information is not well preserved when confronted with severely degradation. To address this challenge, we propose a Local Patch-Based Identity-Preserving Diffusion (LPIP-Diff) framework. Our local patch-based strategy leverages the interrelationships between neighboring patches to model highly structured facial context, which facilitates the restoration of fine-grained details and the preservation of identity-related features. We also introduce a fusion degradation estimation method that makes each overlapping area restored multiple times by adjacent patches, effectively restoring local details. The experimental results of LPIP-Diff on three publicly available datasets, including one severely degraded dataset, consistently demonstrate its superiority over the state-of-the-art methods in terms of both quantitative and qualitative evaluations, strikes a good balance between realism and fidelity, and enhances robustness against degradation.

关键词： Degradation Computer vision Estimation signal processing Diffusion models Robustness Image restoration Speech processing Faces Context modeling

来源：评论

学校读者我要写书评

暂无评论

没有更多数据了...

全选清除本页清除全部题录导出标记到“检索档案”

共500页 << < 17 18 19 20 21 22 23 24 25 26 > >>

检索报告对象比较合并检索0

隐藏清空

合并搜索

回到顶部

执行限定条件

内容：

评分：

请选择保存的检索档案：

请选择收藏分类：

订阅名称：

通借通还

温馨提示：

图书名称：

借书校区：

取书校区：

手机号码：

邮箱地址：

一卡通帐号：

电话和邮箱必须正确填写，我们会与您联系确认。

联系人：

所在院系：

联系邮箱：

联系电话：

内蒙古自治区呼和浩特市赛罕区大学西街235号邮编: 010021

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：